🚨 Presenting today at #CVPR2026! Our highlight ⭐ paper Retrieve and Segment (RNS) asks a simple question: Can a few examples bridge the supervision gap in open-vocabulary segmentation? ✅ Turns out they can. 📍 Poster #578 ⏰ 16:45–18:45 📄 arxiv.org/abs/2602.23339

𝑹𝒆𝒕𝒓𝒊𝒆𝒗𝒆 𝒂𝒏𝒅 𝑺𝒆𝒈𝒎𝒆𝒏𝒕 (𝑹𝑵𝑺) at CVPR 2026 — selected as a 🌟 𝑯𝒊𝒈𝒉𝒍𝒊𝒈𝒉𝒕 🌟 (top ~4% of submissions)! 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝘂𝘀 𝗮𝘁 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲 (𝗗𝗲𝗻𝘃𝗲𝗿): 🔹 𝑴𝒂𝒊𝒏 𝑪𝒐𝒏𝒇𝒆𝒓𝒆𝒏𝒄𝒆 Poster Session 4 (#578) — June 6, 16:45–18:45 🔹 𝑾𝒉𝒂𝒕 𝒊𝒔 𝑵𝒆𝒙𝒕 𝒊𝒏 𝑴𝒖𝒍𝒕𝒊𝒎𝒐𝒅𝒂𝒍 𝑭𝒐𝒖𝒏𝒅𝒂𝒕𝒊𝒐𝒏 𝑴𝒐𝒅𝒆𝒍𝒔? Workshop — June 3, 14:30–16:00

Vision Transformers are brittle to variable input resolutions. In dense prediction tasks, the standard fix is sliding-window inference with heavy overlap, which is effective but painfully slow. SPAR (Single-Pass Any-Resolution ViT), takes a different approach.

🚨 Call for Papers 🚨 8th Instance-Level Recognition and Generation (ILR+G) Workshop at @eccv.bsky.social 📍 Malmö, Sweden 📅 September 8–9, 2026 🌐 ilr-workshop.github.io/ECCVW2026/ Submission deadline: June 26, 2026 Notification of acceptance: July 24, 2026 #ECCV2026 #ComputerVision

Do vision and vision-language foundation models suffer from shortcut learning? Is this only a curse or also a blessing? I'm excited to discuss our recent work at the AMD AI Research Club session with Pier Luigi Dovesi. 📅 May 28, 2026 — 2PM Prague time Register here 👇 amd.zoom.us/webinar/regi...

🇧🇷 Presenting our ICLR 2026 paper “Efficient Probing” (EP) today! ❓What if linear probing is asking the wrong question? 🥳 EP is a lightweight attention probing method that better evaluates local, patch-level representations from models like MIM. 📍Friday 24 April, P4-#3713, 15:15–17:45

🚨 Efficient Local Visual Similarity (ELViS) @ #ICLR 2026 🇧🇷 ELViS is a fast, lightweight, and interpretable module for estimating image-to-image similarity that generalizes well to many image domains. Paper: arxiv.org/abs/2603.28603 Code: github.com/pavelsuma/ELViS Come see poster today @ P4-#3715

The Visual Recognition Group at CTU in Prague organizes the 51st Pattern Recognition and Computer Vision Colloquium with Roman Bednarik, István Sárándi, Andreas Geiger, Jan Škvrna, Yuki Asano and Dániel Baráth. cmp.felk.cvut.cz/colloquium/#... Happening today, Thursday Apr 23, 11:00-17:00.

Got a few labeled images lying around? You can use them to drastically improve your open-vocabulary segmentation! Check out RnS, which boosts OVS baselines by up to 34%. 📈👇

Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? Tilemachos Aravanis @stojnicv.xyz @billpsomas.bsky.social Nikos Komodakis @gtolias.bsky.social tl;dr: almost yes if use 1-3 images, no if more(fig 6) arxiv.org/abs/2602.23339 #CVPR2026

Excited to share that our paper "Global-Aware Edge Prioritization for Pose Graph Initialization" has been accepted to CVPR 2026! #CVPR2026 See you soon in Denver!🥳🥳 Code is coming soon🚧 ❓How would you do an accurate and efficient pose graph initialization in a global manner? arxiv.org/abs/2602.21963

1/n Attention, Please! 🚀 Our work “Revisiting Attentive Probing Through the Lens of Efficiency” has been accepted at #ICLR2026. We introduce Efficient Probing (EP) — a lightweight, multi-query attentive probing method for frozen encoders. Paper + code at the end 👇

What if position encodings were designed for vision from scratch? We introduce PaPE—Parabolic Position Encoding. Outperforms RoPE on 7/8 datasets and extrapolates to higher resolutions without fine-tuning or position interpolation. Paper, code, and website in thread 🧵

I have an opening for a two years post-doc position on instance-level (personalized) visual generation. Eligibility: (i) <=7 years from Ph.D. (ii) studies or 1 year outside of Czechia (ii) >=3 journal with IF or CORE A*/A conference papers. Deadline: 15 Feb. Details: www.euraxess.cz/jobs/399390

1/n REGLUE Your Latents! 🚀 We introduce REGLUE: a unified framework that entangles VAE latents ➕ Global ➕ Local semantics for faster, higher-fidelity image generation. Links (paper + code) at the end👇

Announcing the first AI for Peace Workshop @ ICLR 2026. The workshop aims to provide a forum for examining the relationship between AI research and its military, surveillance, and conflict-related applications. aiforpeaceworkshop.github.io

Are you at BMVC tomorrow and interested in VLMs? Come see our poster "Image Recognition with Vision and Language Embeddings of VLMs". 👁️📕 TLDR: We benchmark VLMs on language- and vision-based classification, and propose a simple, training-free vision-language fusion. Link: arxiv.org/pdf/2509.09311

We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction. It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics: ai4bi-cdt.ed.ac.uk

23rd of October. @iccv.bsky.social We present our work on “Large-scale Pretraining for Grounded Video Caption Generation” with Cordelia Schmid and @josef-sivic.bsky.social at Exhibit Hall I #434 on the morning session. We’ll have a search demo for our dataset as well! See you there!! 🚀

Are you at @iccv.bsky.social #ICCV2025? Come by our poster.  📅 October 22, 2025, 14:30 – 16:30 HST  📍 Location: Exhibit Hall I, Poster #207

🌺 Just 4 days to go! Join us in Honolulu for the Instance-Level Recognition and Generation Workshop at #ICCV2025 🏝 🗓️ Oct 19, 8:30am–12:30pm 📍 Room 306 A We’ll have amazing keynotes, plus oral and poster sessions featuring accepted and invited papers. Don’t miss it! ilr-workshop.github.io/ICCVW2025/

The Visual Recognition Group at CTU in Prague organizes the 50th Pattern Recognition and Computer Vision Colloquium with Torsten Sattler, Paul-Edouard Sarlin, Vicky Kalogeiton, Spyros Gidaris, Anna Kukleva, and Lukas Neumann. On Thursday Oct 9, 11:00-17:00. cmp.felk.cvut.cz/colloquium/

Super happy that QuARI: Query Adaptive Retrieval Improvement was accepted at #NeurIPS2025. You can significantly boost retrieval performance for very hard retrieval tasks by learning query-specific transformations of your encoders. w/ @jacobsn.bsky.social @pless.bsky.social arxiv.org/pdf/2505.21647

Crash test your foundational models for object recognition at its finest granularity. Here are the updated results on our instance-level image retrieval benchmark (ILIAS-CVPR'25). DINOv3 and Perception Encoder (PE) are included, with DINOv3 being the new SoA! Oh, but no, look at this...

🚀 new state-of-the-art on ILIAS dataset! Curious how well the latest models can recognize particular objects? We evaluated the base and large variants of DINOv3 and Perception Encoder (PE) on instance-level image retrieval. See the results 👉 vrg.fel.cvut.cz/ilias/

Nice idea for cross-modal retrieval by @gtolias.bsky.social and team arxiv.org/abs/2509.00177 Use the text to generate images using an image generative model, and augment the text query with these. A bit brute-force if you ask me, but effectively captures the visual diversity.

The Colloquium in Pattern Recognition and Computer Vision of the Visual Recognition Group at CTU in Prague has a long tradition dating back to 1998. The list of all speakers is available docs.google.com/spreadsheets.... Enjoy! The 50th edition is coming soon cmp.felk.cvut.cz/colloquium/

Processing and acquisition traces in visual encoders: What does CLIP know about your camera? @ryan-ramos.bsky.social @stojnicv.xyz @gkordo.bsky.social Yuta Nakashima @gtolias.bsky.social @noagarciad.bsky.social tl;dr: CLIP sees difference DSLR vs iphone, DINO doesn't. arxiv.org/abs/2508.10637 1/

Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?

🚨 Deadline Extension Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @iccv.bsky.social 📅 new deadline: June 26, 2025 (23:59 AoE) 📄 paper submission: cmt3.research.microsoft.com/ILRnG2025 🌐 ILR+G website: ilr-workshop.github.io/ICCVW2025/ #ICCV2025 #ComputerVision #AI

Are you at @cvprconference.bsky.social #CVPR2025 ? Come and check out LPOSS. We show how can graph-based label propagation be used to improve weak, patch-level predictions from VLMs for open-vocabulary semantic segmentation. 📅 June 13, 2025, 16:00 – 18:00 CDT 📍 Location: ExHall D, Poster #421

Are you at @cvprconference.bsky.social? Come by our poster! 📅 Sat 14/6, 10:30-12:30 📍 Poster #395, ExHall D

Attending @cvprconference.bsky.social and looking for a PhD or postdoc position in the area of 3d reconstruction (Gaussian splatting, nerfs, scene understanding, etc.)? Find me or drop me an email ;)

6/ 📄 Paper 2: "LPOSS: Label Propagation Over Patches and Pixels for Open-Vocabulary Semantic Segmentation" Can graph-based label propagation refine weak, patch-level predictions from VLMs like CLIP? We say yes — introducing LPOSS and LPOSS+.

⚠️❗Open PhD and Postdoc positions in Prague with Lukas Neumann! ❗⚠️ We rank #5 in computer vision in Europe and Lukas is a great supervisor, so this is a great opportunity! If you are interested, contact him, he will also be at CVPR with his group :)

We will be presenting the 🍄 FungiTastic 🍄, a multimodal, highly challenging dataset and benchmark covering many ML problems at @fgvcworkshop.bsky.social CVPR-W on Wednesday! ⏱️ 16:15 📍104 E, Level 1 📸 www.kaggle.com/datasets/pic... 📃 arxiv.org/abs/2408.13632 @cvprconference.bsky.social

The 2nd CEGIS workshop on visual generative models evaluation is back at #ICCV2025!! Submit your contributions: - Deadline: June 26th 2025 - Notification: July 10th, 2025 - Camera-ready: August 18th, 2025 See you in Honolulu! sites.google.com/view/cegis-w... @iccv.bsky.social

Check this out: an accessible math font which actually looks nice! www.luciole-vision.com/en/math.html

Call for Papers update - ILR+G workshop @iccv.bsky.social We will now feature a single submission track with new submission dates. 📅 New submission deadline: June 21, 2025 🔗 Submit here: cmt3.research.microsoft.com/ILRnG2025 🌐 More details: ilr-workshop.github.io/ICCVW2025/ #ICCV2025

For years, we have tried to bring together researchers dedicated to the finest granularity of class definition—instance-level analysis. Now in its 7th edition, the event covers both recognition and generation tasks. Check out the call for papers

🚨 Call for Papers! 7th Instance-Level Recognition and Generation (ILR+G) Workshop at @iccv.bsky.social 📍 Honolulu, Hawaii 🌺 📅 October 19–20, 2025 🌐 ilr-workshop.github.io/ICCVW2025/ in-proceedings deadline: June 7 out-of-proceedings deadline: June 30 #ICCV2025

Anyone going to ICLR?

Btw Illia is a super talented young guy, just finnishing his 1st year of bachelors, and doesn't know anybody in the field yet, unfortunately nobody from our lab is going to ICLR.. lmk if you are looking to meet new people there and I can connect you! 🙏 👀

The Visual Recognition Group at CTU in Prague organizes the 49th Pattern Recognition and Computer Vision Colloquium with D. Karatzas, M. Masana, T. Tommasi, P. Mettes @pascalmettes.bsky.social , E. Brachmann @ericbrachmann.bsky.social and V. Stojnic @stojnicv.xyz cmp.felk.cvut.cz/colloquium/#...

Exciting News! Shoutout to @hf.co 🤗 for hosting ILIAS in its full scale! You can now easily download it via: huggingface.co/datasets/vrg... This marks a milestone in i2i and t2i retrieval, paving the way for significant advancements in the field. Huge thanks to @hf.co team for their support!

We are happy to share LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation. LPOSS is a training-free method for open-vocabulary semantic segmentation using Vision-Language Models.

Exciting research from NAVER LABS Europe @cvpr.bsky.social #CVPR2025 🚀! A breakdown of the 7 papers covering visual navigation, distillation, 3D reconstruction (remember #DUSt3R ☺️), localization & motion segmentation. europe.naverlabs.com/updates/cvpr/ 🧵 1/9 ⬇️

Not sure what to do with all the free time after ICCV deadline?🌴 Are you tired of all the self-driving datasets? Or you just like 🍄? Submit to our FungiCLEF25@CVPR challenge! Just launched, 2 months to go 🏃‍♂️. The task is few-shot recognition of 🍄 observations. More at www.kaggle.com/competitions...

Poster’s up at #WACV2025 !

📢 ‼️ 📢 ‼️ New blog post alert ‼️ 📢 ‼️ 📢 We are finally publishing our blog post: Flaws of ImageNet, Computer Vision's Favorite Dataset. Not only does it have many cute animals 🦦 🐈 🐋 , it also provides an overview of known issues, as well as new insights. klarajanouskova.github.io/ImageNet/